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Max R Paquette

Biographic Data

ID1753435
NAMEMax R Paquette
GIVEN NAMESMax R
FAMILY NAMEPaquette
SIGNATUREPAQUETTE M R
AFFILIATIONSUniversity of Memphis
ORCID0000-0002-6671-4570
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS2
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2021
H-INDEX1
  • Monitoring Gait Complexity as an Indicator for Running-Related Injury Risk in Collegiate Cross-Country Runners

    Open Access•Allison H Gruber, James McDonnell et al.•ARTICLE•Frontiers in Sports and Active…•2021

    Dynamical systems theory suggests that studying the complexity of biological signals could lead to a single gait metric that reliably predicts risk of running-related injury (RRI). The purposes of this pilot study were to examine center of mass (COM) acceleration complexity at baseline, prior to RRI, and the change between timepoints between collegiate runners who developed RRI during a competitive season and those who remained uninjured, and to …

  • Changes in Training, Lifestyle, Psychological and Demographic Factors, and Associations With Running-Related Injuries During Covid-19

    Open Access•Hillary H Holmes, Patrick G Monaghan et al.•ARTICLE•Frontiers in Sports and Active…•2021•Cited by: 2•References: 70

    The primary purpose of this study was to examine how the type and magnitude of changes in running behavior, as a consequence of COVID-19 pandemic restrictions, influence running-related injuries. Secondarily, we aimed to examine how lifestyle and psychosocial well-being measures may influence running behavior change. An online survey was advertised to individuals over the age of 18 that currently run or have previously participated in running for…

  • Changes in Training, Lifestyle, Psychological and Demographic Factors, and Associations With Running-Related Injuries During Covid-19

    Open Access•Hillary H Holmes, Patrick G Monaghan et al.•ARTICLE•Frontiers in Sports and Active…•2021•Cited by: 2•References: 70

    The primary purpose of this study was to examine how the type and magnitude of changes in running behavior, as a consequence of COVID-19 pandemic restrictions, influence running-related injuries. Secondarily, we aimed to examine how lifestyle and psychosocial well-being measures may influence running behavior change. An online survey was advertised to individuals over the age of 18 that currently run or have previously participated in running for…

  • Monitoring Gait Complexity as an Indicator for Running-Related Injury Risk in Collegiate Cross-Country Runners

    Open Access•Allison H Gruber, James McDonnell et al.•ARTICLE•Frontiers in Sports and Active…•2021

    Dynamical systems theory suggests that studying the complexity of biological signals could lead to a single gait metric that reliably predicts risk of running-related injury (RRI). The purposes of this pilot study were to examine center of mass (COM) acceleration complexity at baseline, prior to RRI, and the change between timepoints between collegiate runners who developed RRI during a competitive season and those who remained uninjured, and to …

  • Changes in Training, Lifestyle, Psychological and Demographic Factors, and Associations With Running-Related Injuries During Covid-19

    Open Access•Hillary H Holmes, Patrick G Monaghan et al.•ARTICLE•Frontiers in Sports and Active…•2021•Cited by: 2•References: 70

    The primary purpose of this study was to examine how the type and magnitude of changes in running behavior, as a consequence of COVID-19 pandemic restrictions, influence running-related injuries. Secondarily, we aimed to examine how lifestyle and psychosocial well-being measures may influence running behavior change. An online survey was advertised to individuals over the age of 18 that currently run or have previously participated in running for…

Injury Epidemiology and Prevention (2 works) · Medicine (2 works) · Physical therapy (2 works) · Algorithm (1 works) · Balance, Gait, and Falls Prevention (1 works) · Baseline (sea (1 works) · Biology (1 works) · Body mass index (1 works) · Complexity index (1 works) · Coronavirus disease 2019 (COVID-19 (1 works)

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